高通量肠道微生物组研究中的人类非靶向代谢组学:乙醇与甲醇

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Simone Zuffa*, Vincent Charron-Lamoureux, Caitriona Brennan, Madison Ambre, Rob Knight and Pieter C. Dorrestein, 
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引用次数: 0

摘要

非靶向代谢组学经常与测序一起在人类粪便样本上进行,以揭示肠道微生物组的功能。随着样本采集工作的迅速扩大,个体通常在家中采集标本,代谢组学实验应适应安全性和大量非现场采集的需求,并提高高通量。在这里,我们展示了95%乙醇,可以安全运输和处理,提取部分的基质方法管道回收相当数量的代谢物与经过验证的50%甲醇提取,保留了被调查对象之间的代谢谱差异。此外,我们发现粪便代谢组在室温下保存在95%乙醇中长达1周时保持相对稳定。最后,我们提出了一种基于鲁棒中心对数比变换的代谢组学数据分析工作流,该工作流消除了可能的不同样品重量和浓度带来的方差,从而允许在肠道微生物组学研究中进行可靠且易于整合的非靶向代谢组学实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Untargeted Metabolomics in High-Throughput Gut Microbiome Research: Ethanol vs Methanol

Untargeted metabolomics is frequently performed on human fecal samples in conjunction with sequencing to unravel the gut microbiome functionality. As sample collection efforts are rapidly expanding, with individuals often collecting specimens at home, metabolomics experiments should adapt to accommodate the safety and needs of bulk off-site collections and improve high throughput. Here, we show that a 95% ethanol, safe to be shipped and handled, extraction part of the Matrix Method pipeline recovers comparable amounts of metabolites as a validated 50% methanol extraction, preserving metabolic profile differences between investigated subjects. Additionally, we show that the fecal metabolome remains relatively stable when stored in 95% ethanol for up to 1 week at room temperature. Finally, we suggest a metabolomics data analysis workflow based on robust centered log ratio transformation, which removes the variance introduced by possible different sample weights and concentrations, allowing for reliable and integration-ready untargeted metabolomics experiments in gut microbiome research.

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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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